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Uncertainty evaluation for big data of mass standards in a key comparison

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2018) 11342 LNCS 465-471
DOI: 10.1007/978-3-030-05345-1_40
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Abstract

This paper describes a key comparison of mass standards APMP.M.M-K5, conducted between nineteen participating members of the Asia-Pacific Metrology Programme (APMP). The application of the Monte Carlo method is used in the processing of the measurement result of APMP.M.M-K5, which is a kind of big data set. Monte Carlo method can get over the limitations that apply in certain cases to the method described in GUM.

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Ren, X., Nan, F., & Wang, J. (2018). Uncertainty evaluation for big data of mass standards in a key comparison. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11342 LNCS, pp. 465–471). Springer Verlag. https://doi.org/10.1007/978-3-030-05345-1_40

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